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Abstract 16611: Impact of Mechanical Unloading on Structural and Non-structural Components of the Extracellular Matrix in Patients With Dilated Cardiomyopathy

2015· article· en· W2886395580 on OpenAlexaff
Siva S. V. P. Sakamuri, Abhijit Takawale, R. Bas, Xiuhua Wang, Paul W.M. Fedak, Darren H. Freed, Gavin Y. Oudit, Zamaneh Kassiri

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsCanadian VIGOUR CentreLibin Cardiovascular Institute of AlbertaUniversity of Alberta
Fundersnot available
KeywordsExtracellular matrixMedicineHeart failureCardiologyInternal medicineLysyl oxidaseDilated cardiomyopathyMatrix metalloproteinaseVentricular remodelingVentricular assist deviceType I collagenCell biologyBiology

Abstract

fetched live from OpenAlex

Introduction: Extracellular matrix (ECM) is the non-cellular component of the myocardium and its remodeling in cardiomyopathy is a major contributor to disease outcomes. While the impact of left ventricular assist device (LVAD) on remodeling of fibrillar ECM has been studied, its effects on the non-fibrillar ECM and matricellular proteins within the ECM that can influence cardiac structure and function are unknown. Hypothesis: Mechanical unloading preserves the non-fibrillar ECM composition, thereby contributing to reversal of adverse myocardial remodeling. Methods: Hearts were obtained from heart failure patients with idiopathic dilated cardiomyopathy (DCM) with LVAD support (>3mths; LVAD), without LVAD (no-LVAD), and non-failing control hearts (NFC) (n=10/group). LV free wall were fixed or flash-frozen for molecular and IHC evaluations. Results: Assessment of fibrillar ECM showed greater total and insoluble collagen content in no-LVAD hearts, consistent with an increase in collagen type I mRNA, and collagen type I-to-type III ratio. Proteolytic activities (collagenase & gelatinase) were significantly higher in no-LVAD (by 45% and 40%) suggesting greater ECM turnover in these hearts. TIMP1 mRNA decreased in both DCM groups (by 60%), but its protein decreased only in no-LVAD hearts (by 30%). TIMP3 and TIMP4 mRNA (by 30% and 55%) and protein (by 60% and 55%) decreased in both LVAD and no-LVAD hearts. ADAM-TS2, the N-terminal endopeptidase for collagen, was markedly lower in no-LVAD, while LOX1, the cross-linking enzyme showed a small increase in no-LVAD hearts. Evaluation of the basement membrane revealed that laminin arrangements were dispersed in no-LVAD hearts. Integrin β1, a cardiomyocyte cell-surface receptor for laminin, was reduced in no-LVAD but preserved in LVAD hearts. Other basement membrane proteins (fibronectin-1, collagen IV) showed similar trends, whereas differences in matricellular proteins (osteopontin, SPARC) were less striking between LVAD and no-LVAD hearts. Conclusions: Mechanical unloading positively impacts multiple aspects of myocardial ECM, the fibrillar ECM network and the less explored basement membrane, although the matricellular proteins residing within the ECM seem to be less affected.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.261
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
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